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Measurement of Fiscal Absorbing Capacity in Megacities and Analysis on Their Influence Factors—Empirical Research Based on Factor Analysis Combined with Panel Data

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dc.contributor.author Chen, Ruoxi
dc.date.accessioned 2018-07-11T11:26:49Z
dc.date.available 2018-07-11T11:26:49Z
dc.date.issued 2017-04
dc.identifier.citation Open Journal of Business and Management, 2017, 5, 298-311 en_US
dc.identifier.issn 2329-3292
dc.identifier.uri https://doi.org/10.4236/ojbm.2017.52027
dc.identifier.uri http://hdl.handle.net/123456789/1803
dc.description.abstract Fiscal absorbing capacity is an essential part of national capacity, whose shortcoming would drive local governments to raise capital through nonstandardized channels. Thus causing a negative effect on national governance. The paper would define fiscal absorbing capacity in three aspects, including fiscal absorbing scale, fiscal absorbing autonomy and fiscal absorbing efficiency, and would make measurement and empirical analysis on the fiscal absorbing capacity in seven megacities from 2008 to 2014 by adopting fixed effect model combined with factor analysis, the result of which shows that reverse change trend exists in municipalities and prefecture-level cities of megacities with over ten million population, and that fiscal expenditure decentralization, economic factor and demographic factor all have significant effect on fiscal absorbing capacity. Therefore, powers of finance and duties reasonably divided among megacities should be put forward to promote the optimization and upgrading of industrial structure; and the financial guarantee of municipal governments in megacities should be strengthened through reforms of transfer payment system and household registration. en_US
dc.language.iso en en_US
dc.publisher Scientific Research en_US
dc.subject Fiscal Absorbing Capacity en_US
dc.subject Factor Analysis en_US
dc.subject Megacity en_US
dc.title Measurement of Fiscal Absorbing Capacity in Megacities and Analysis on Their Influence Factors—Empirical Research Based on Factor Analysis Combined with Panel Data en_US
dc.type Article en_US


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